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Multimodal Imaging of Dynamic Functional Connectivity

The study of large-scale functional interactions in the human brain with functional magnetic resonance imaging (fMRI) extends almost to the first applications of this technology. Due to historical reasons and preconceptions about the limitations of this brain imaging method, most studies have focuse...

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Detalles Bibliográficos
Autores principales: Tagliazucchi, Enzo, Laufs, Helmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329798/
https://www.ncbi.nlm.nih.gov/pubmed/25762977
http://dx.doi.org/10.3389/fneur.2015.00010
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author Tagliazucchi, Enzo
Laufs, Helmut
author_facet Tagliazucchi, Enzo
Laufs, Helmut
author_sort Tagliazucchi, Enzo
collection PubMed
description The study of large-scale functional interactions in the human brain with functional magnetic resonance imaging (fMRI) extends almost to the first applications of this technology. Due to historical reasons and preconceptions about the limitations of this brain imaging method, most studies have focused on assessing connectivity over extended periods of time. It is now clear that fMRI can resolve the temporal dynamics of functional connectivity, like other faster imaging techniques such as electroencephalography and magnetoencephalography (albeit on a different temporal scale). However, the indirect nature of fMRI measurements can hinder the interpretability of the results. After briefly summarizing recent advances in the field, we discuss how the simultaneous combination of fMRI with electrophysiological activity measurements can contribute to a better understanding of dynamic functional connectivity in humans both during rest and task, wakefulness, and other brain states.
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spelling pubmed-43297982015-03-11 Multimodal Imaging of Dynamic Functional Connectivity Tagliazucchi, Enzo Laufs, Helmut Front Neurol Neuroscience The study of large-scale functional interactions in the human brain with functional magnetic resonance imaging (fMRI) extends almost to the first applications of this technology. Due to historical reasons and preconceptions about the limitations of this brain imaging method, most studies have focused on assessing connectivity over extended periods of time. It is now clear that fMRI can resolve the temporal dynamics of functional connectivity, like other faster imaging techniques such as electroencephalography and magnetoencephalography (albeit on a different temporal scale). However, the indirect nature of fMRI measurements can hinder the interpretability of the results. After briefly summarizing recent advances in the field, we discuss how the simultaneous combination of fMRI with electrophysiological activity measurements can contribute to a better understanding of dynamic functional connectivity in humans both during rest and task, wakefulness, and other brain states. Frontiers Media S.A. 2015-02-16 /pmc/articles/PMC4329798/ /pubmed/25762977 http://dx.doi.org/10.3389/fneur.2015.00010 Text en Copyright © 2015 Tagliazucchi and Laufs. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Tagliazucchi, Enzo
Laufs, Helmut
Multimodal Imaging of Dynamic Functional Connectivity
title Multimodal Imaging of Dynamic Functional Connectivity
title_full Multimodal Imaging of Dynamic Functional Connectivity
title_fullStr Multimodal Imaging of Dynamic Functional Connectivity
title_full_unstemmed Multimodal Imaging of Dynamic Functional Connectivity
title_short Multimodal Imaging of Dynamic Functional Connectivity
title_sort multimodal imaging of dynamic functional connectivity
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329798/
https://www.ncbi.nlm.nih.gov/pubmed/25762977
http://dx.doi.org/10.3389/fneur.2015.00010
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